Sreenivas R. Sukumar

Orcid: 0000-0003-4031-2888

Affiliations:

Hewlett Packard Enterprise, USA

According to our database¹, Sreenivas R. Sukumar authored at least 35 papers between 2003 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Optimizing the Cray Graph Engine for performant analytics on cluster, SuperDome Flex, Shasta systems and cloud deployment.

[BibT_eX]

[DOI]

Christopher D. Rickett

Kristyn J. Maschhoff

Sreenivas R. Sukumar

Concurr. Comput. Pract. Exp., 2024

2023

Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning.

[BibT_eX]

[DOI]

Ann Mary Justine Koomthanam

Suparna Bhattacharya

Ayana Ghosh

Kevin Roccapriore

Sreenivas Rangan Sukumar

Paolo Faraboschi

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2021

The Convergence of HPC, AI and Big Data in Rapid-Response to the COVID-19 Pandemic.

[BibT_eX]

[DOI]

Sreenivas R. Sukumar

Jacob A. Balma

Christopher D. Rickett

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Survival of the Fittest Amidst the Cambrian Explosion of Processor Architectures for Artificial Intelligence : Invited Paper.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM Programming Environments for Heterogeneous Computing, 2021

2020

Massively Parallel Processing Database for Sequence and Graph Data Structures Applied to Rapid-Response Drug Repurposing.

[BibT_eX]

[DOI]

Christopher D. Rickett

Kristyn J. Maschhoff

Sreenivas R. Sukumar

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Deep Learning Predicts Protein-Ligand Interactions.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Evaluating Scientific Workflow Engines for Data and Compute Intensive Discoveries.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

A Flexible-blocking Based Approach for Performance Tuning of Matrix Multiplication Routines for Large Matrices with Edge Cases.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016

Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2016

FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms.

[BibT_eX]

[DOI]

Proceedings of the 1st Joint International Workshop on Parallel Data Storage and data Intensive Scalable Computing Systems, 2016

Evaluation of Pattern Matching Workloads in Graph Analysis Systems.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

Big data analytics on HPC architectures: Performance and cost.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Mini-apps for high performance data analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Kernels for scalable data analysis in science: Towards an architecture-portable future.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

On-demand data analytics in HPC environments at leadership computing facilities: Challenges and experiences.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Scalable nearest neighbor based hierarchical change detection framework for crop monitoring.

[BibT_eX]

[DOI]

Zexi Chen

Ranga Raju Vatsavai

Bharathkumar Ramachandra

Qiang Zhang

Nagendra Singh

Sreenivas R. Sukumar

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Scalable association rule mining with predication on semantic representations of data.

[BibT_eX]

[DOI]

Li-Shiang Tsay

Sreenivas R. Sukumar

Larry W. Roberts

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Graph Processing Platforms at Scale: Practices and Experiences.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Symposium on Performance Analysis of Systems and Software, 2015

Graph mining meets the Semantic Web.

[BibT_eX]

[DOI]

Sangkeun Lee

Sreenivas R. Sukumar

Seung-Hwan Lim

Proceedings of the 31st IEEE International Conference on Data Engineering Workshops, 2015

Open research challenges with Big Data - A data-scientist's perspective.

[BibT_eX]

[DOI]

Sreenivas R. Sukumar

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Enabling graph appliance for genome assembly.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Using clinical data, hypothesis generation tools and PubMed trends to discover the association between diabetic retinopathy and antihypertensive drugs.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Fraud Detection in Healthcare.

[BibT_eX]

[DOI]

Varun Chandola

Jack C. Schryver

Sreenivas R. Sukumar

Proceedings of the Healthcare Data Analytics., 2015

2013

'Big Data' collaboration: Exploring, recording and sharing enterprise knowledge.

[BibT_eX]

[DOI]

Sreenivas R. Sukumar

Regina K. Ferrell

Inf. Serv. Use, 2013

Knowledge discovery from massive healthcare claims data.

[BibT_eX]

[DOI]

Varun Chandola

Sreenivas R. Sukumar

Jack C. Schryver

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

2008

Uncertainty minimization in multi-sensor localization systems using model selection theory.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Learning structurally discriminant features in 3D faces.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2008

Towards understanding what makes 3D objects appear simple or complex.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

On handling uncertainty in the fundamental matrix for scene and motion adaptive pose recovery.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Automated Scene-Specific Selection of Feature Detectors for 3D Face Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

MuFeSaC: Learning When to Use Which Feature Detector.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2007

2006

Robotic three-dimensional imaging system for under-vehicle inspection.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2006

Shape Measure for Identifying Perceptually Informative Parts of 3D Objects.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Symposium on 3D Data Processing, 2006

2003

Shape analysis algorithm based on information theory.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Conference on Image Processing, 2003

Sreenivas R. Sukumar

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